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theoretical and computational research on dynamic game theory and multi-agent optimization for uncertain systems. By building on tools from distributed optimization, convex-monotone game theory, and hybrid
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energy transition depends on data that almost no one is allowed to see. Distribution system operators (DSOs), municipalities and energy communities need high-resolution grid and consumption data to plan
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magnitude, spatial distribution and temporal dynamics of mechanical cues shape cellular responses. You will investigate an integrated cell–material system in which living cells are mechanically coupled to a
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congestion challenges for electricity distribution grids. At the same time, effective planning depends on access to data from multiple stakeholders - including municipalities, distribution system operators
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, you will focus on developing mathematical models and numerical algorithms that systematically integrate uncertainties into the design process of optical systems. The goal is to enable novel design
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distributes and routes entangled photons in the presence of classical telecom traffic in multi-node quantum networks. Information Efficient distribution and routing of entanglement are indispensable for quantum
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interconnects for next-generation AI compute clusters. Information The smart optical networks lab (SONL) at the Electro-Optics Communication (ECO) group at Eindhoven University of Technology is recruiting for a
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and economic growth. You will study tipping points for the financial sector, given the evolution of flood probabilities and impacts. About FIRM Flood Insurance and Risk Management (FIRM) is a five‑year
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? The transition to sustainable heating requires close collaboration between municipalities, distribution system operators (DSOs), households and other stakeholders. Effective planning depends on the ability
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on access to data from multiple stakeholders - including municipalities, distribution system operators (DSOs), and households. However, such data are often fragmented, privacy-sensitive, or unavailable due